Hybrid intelligent active force controller for robot arms using evolutionary neural networks

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Hybrid intelligent active force controller for robot arms using evolutionary neural networks

In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an...

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Bibliographic Details
Main Authors:	Hussein, S. B., Jamaluddin, H., Mailah, M., Zalzala, A. M. S.
Format:	Article
Published:	IEEE, Piscataway, NJ, United States 2000
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/7086/

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